MCP Analytics

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It adds valuable context about what the schema contains (column_mapping, module_parameters), but omits operational traits like safety (read-only), idempotency, or side effects that agents need for mutation risk assessment.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence efficiently packs purpose, return type, and usage context. No redundancy or filler; information density is optimal with critical prerequisite information front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Appropriately complete for a simple single-parameter tool. Covers the essential workflow integration (prerequisite for tools_run) and return value intent (JSON schema), though could clarify whether the return is a string, object, or structured format given no output schema exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 100% description coverage for the single 'tool_name' parameter. Description implies the parameter by referencing 'a tool' but adds no additional semantics, examples, or format constraints beyond the schema baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description uses specific verb 'Get' with resource 'JSON schema' and distinguishes from sibling tools like 'tools_info' and 'tools_run' by specifying it retrieves structural schema data rather than general metadata or execution.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states temporal workflow relationship: schema must be retrieved 'before tools_run' and highlights specific schema components ('column_mapping and module_parameters') that are prerequisites, clearly indicating when to invoke this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.